Environmental data set for the design and analysis of the Photovoltaic system in the Jordan Valley.

Environmental data Off-grid On-grid Photovoltaic Renewable energy

Journal

Data in brief
ISSN: 2352-3409
Titre abrégé: Data Brief
Pays: Netherlands
ID NLM: 101654995

Informations de publication

Date de publication:
Aug 2020
Historique:
received: 20 04 2020
revised: 22 05 2020
accepted: 25 05 2020
entrez: 23 6 2020
pubmed: 23 6 2020
medline: 23 6 2020
Statut: epublish

Résumé

Renewable energy penetration in the national electrical grid in Jordan has been rapidly increasing in the last few years, touching nearly 30%. Limited grid capacity has been a driver to slow down large-scale projects and has motivated increased attention towards off-grid photovoltaic (PV) systems. Planning properly-sized on-grid and off-grid systems requires accurate knowledge of the environmental and irradiance conditions at the installation site. As off-grid systems are equally of interest to non-critical types of loads, investments are directed towards agricultural applications like water pumping and desalination. To assess the potential of expanding the renewable energy penetration in agricultural areas in the Jordan valley and surrounding areas, this article presents annually measured environmental data including irradiance, temperature and wind speed, in addition to data related to soling on an existing off-grid PV system installed in the Jordan Valley. These data are used in the research article entitled "Performance Analysis of Off-grid PV systems in the Jordan Valley", Al-Addous et al., 2017, and in the research article entitled "Modelling and Quantifying of Dust Accumulation Impact on PV Module Performance" Al-Addous et al., 2019. Data were collected and gathered using calibrated, high accuracy sensors installed at different parts of the installed plant.

Identifiants

pubmed: 32566701
doi: 10.1016/j.dib.2020.105794
pii: S2352-3409(20)30688-0
pii: 105794
pmc: PMC7298412
doi:

Types de publication

Journal Article

Langues

eng

Pagination

105794

Informations de copyright

© 2020 The Author(s). Published by Elsevier Inc.

Déclaration de conflit d'intérêts

The authors declare that they have no known competing financial interests or personal relationships, which have, or could be perceived to have, influenced the work reported in this article.

Auteurs

Zakariya Dalala (Z)

German Jordanian University, P.O. Box 35247, Amman 11180, Jordan.

Mohammad Al-Addous (M)

German Jordanian University, P.O. Box 35247, Amman 11180, Jordan.

Firas Alawneh (F)

German Jordanian University, P.O. Box 35247, Amman 11180, Jordan.

Christina B Class (CB)

Ernst-Abbe-Hochschule Jena, Germany, Carl-Zeib-Promenade 2, German.

Classifications MeSH